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Eunji Jun
Eunji Jun
Hyundai Motor Group
Verified email at hyundai.com
Title
Cited by
Cited by
Year
Uncertainty-aware variational-recurrent imputation network for clinical time series
AW Mulyadi, E Jun, HI Suk
IEEE Transactions on Cybernetics 52 (9), 9684-9694, 2021
452021
Deep recurrent model for individualized prediction of Alzheimer’s disease progression
W Jung, E Jun, HI Suk, Alzheimer’s Disease Neuroimaging Initiative
NeuroImage 237, 118143, 2021
382021
Deep recurrent spatio-temporal neural network for motor imagery based BCI
W Ko, J Yoon, E Kang, E Jun, JS Choi, HI Suk
2018 6th International Conference on Brain-Computer Interface (BCI), 1-3, 2018
382018
Medical transformer: Universal brain encoder for 3D MRI analysis
E Jun, S Jeong, DW Heo, HI Suk
arXiv preprint arXiv:2104.13633, 2021
372021
Uncertainty-gated stochastic sequential model for EHR mortality prediction
E Jun, AW Mulyadi, J Choi, HI Suk
IEEE Transactions on Neural Networks and Learning Systems 32 (9), 4052-4062, 2020
282020
Identifying resting‐state effective connectivity abnormalities in drug‐naļve major depressive disorder diagnosis via graph convolutional networks
E Jun, KS Na, W Kang, J Lee, HI Suk, BJ Ham
Human Brain Mapping 41 (17), 4997-5014, 2020
272020
Modeling regional dynamics in low-frequency fluctuation and its application to autism spectrum disorder diagnosis
E Jun, E Kang, J Choi, HI Suk
NeuroImage 184, 669-686, 2019
242019
Stochastic imputation and uncertainty-aware attention to EHR for mortality prediction
E Jun, AW Mulyadi, HI Suk
2019 international joint conference on neural networks (IJCNN), 1-7, 2019
202019
Multi-view integrative attention-based deep representation learning for irregular clinical time-series data
Y Lee, E Jun, J Choi, HI Suk
IEEE Journal of Biomedical and Health Informatics 26 (8), 4270-4280, 2022
182022
Region-wise stochastic pattern modeling for autism spectrum disorder identification and temporal dynamics analysis
E Jun, HI Suk
Connectomics in NeuroImaging: First International Workshop, CNI 2017, Held …, 2017
42017
Mutual Learning for Long-Tailed Recognition
C Park, J Yim, E Jun
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
32023
Multi-view integration learning for irregularly-sampled clinical time series
Y Lee, E Jun, HI Suk
arXiv preprint arXiv:2101.09986, 2021
32021
Deep recurrent disease progression model for conversion-time prediction of Alzheimer’s disease
W Jung, E Jun, HI Suk
arXiv preprint arXiv:2005.02643, 2020
32020
Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis
E Jun, S Jeong, DW Heo, HI Suk
IEEE Transactions on Neural Networks and Learning Systems, 2023
12023
Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series
A Wisnu Mulyadi, E Jun, HI Suk
arXiv e-prints, arXiv: 2003.00662, 2020
2020
Mutual Learning for Long-Tailed Recognition Supplementary Material
C Park, J Yim, E Jun
ACE 1 (54.7), 56.6, 0
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